Extended Data Fig. 6: Venn diagram showing overlap in genes between machine learning models and comparison with models built using only clinical and histological variables. | Nature Medicine

Extended Data Fig. 6: Venn diagram showing overlap in genes between machine learning models and comparison with models built using only clinical and histological variables.

From: Rituximab versus tocilizumab in rheumatoid arthritis: synovial biopsy-based biomarker analysis of the phase 4 R4RA randomized trial

Extended Data Fig. 6

a, Venn diagram showing the overlap in genes selected as features in optimal predictive models for prediction of rituximab and tocilizumab response at week 16 and refractory state (failure to respond to both rituximab and tocilizumab). b, Grid of plots showing the optimal predictive models for different treatment when using clinical and histological variables only. From top to bottom plots show: ROC curves for the best model on the test data (from outer-fold) set; ROC curves on the left-out (from inner-fold) set; and the variable importance when fit to the whole data set.

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